#codex 所有付费用户都已获得一张重置卡! 📮投稿 📢频道 💬吹水 🌐网站
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Channel
@xgeekshare
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
13,175subscribers
+268 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003590648343 |
|---|---|
| Type | Channel |
| Username | @xgeekshare |
| Description | 极客分享 2.0 频道 专注分享 AI、开源项目、生产力工具等 ✅ 极客分享1.0: @geekshare 🌐 网站:https://geekshare.org/ 📁 极客分享1.0存档:https://archive.geekshare.org/ |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/xgeekshare |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 00:14 | 13,175 | +7 |
| 20 Aug 2026, 17:05 | 13,168 | +19 |
| 19 Aug 2026, 15:38 | 13,149 | +4 |
| 18 Aug 2026, 14:57 | 13,145 | +19 |
| 17 Aug 2026, 17:03 | 13,126 | +35 |
| 16 Aug 2026, 14:47 | 13,091 | +82 |
| 14 Aug 2026, 23:15 | 13,009 | +14 |
| 13 Aug 2026, 12:07 | 12,995 | +23 |
| 12 Aug 2026, 12:08 | 12,972 | +16 |
| 11 Aug 2026, 09:23 | 12,956 | +13 |
| 10 Aug 2026, 08:26 | 12,943 | +26 |
| 9 Aug 2026, 05:51 | 12,917 | +7 |
| 8 Aug 2026, 08:35 | 12,910 | +3 |
| 7 Aug 2026, 08:36 | 12,907 | no change |
| 6 Aug 2026, 22:02 | 12,907 | first reading |
29 posts held, back to 19 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 28 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 17 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 29 (19 June 2026 – 22 August 2026) |
| Views total | 89,650 |
| Reactions total | 181 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 13:42 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
290 reactions across 27 posts, in 6 distinct kinds. The most used accounts for 43.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 125 | 43.1% | |
| 👍 | 91 | 31.4% | |
| ❤ | 67 | 23.1% | |
| 😁 | 3 | 1.03% | |
| 🏆 | 2 | 0.69% | |
| 😱 | 2 | 0.69% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 27 of the 29 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 290reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 19 June 2026 to 22 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#codex 所有付费用户都已获得一张重置卡! 📮投稿 📢频道 💬吹水 🌐网站
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#deepseek DSHA - 在安卓手机上一键运行 DeepSeek Harness ⬇️ 下载页面 DSHA 是一个 DeepSeek Harness 安卓启动器,无需 ROOT,也不用另外安装 Termux。 📮投稿 📢频道 💬吹水 🌐网站
#skill #生成视频 ✍️ 有字幕就能做白板手绘视频! SRT Whiteboard Animation 是一个把 SRT 字幕转换成白板手绘视频的开源 Skill。 它会先根据字幕拆分分镜,再按照叙事顺序让画面元素逐个出现,以「线稿 → 添彩」的方式模拟连续手绘过程,最后输出 MP4。 以前刷到过不少类似视频,现在有token就能开干了 📮投稿 📢频道 💬吹水 🌐网站
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现在各个开源榜单都充斥着AI,代码也就算了,各种Skill都特么屠榜,还有某些大V的橙皮书,含金量堪比一坨💩 现在想发现优质内容是越来越难了
🤡29❤6😁2😱1
#频道互推 #群组推荐 (NSFW)mmd分享 奇趣吃瓜 App Store 限免应用 Fang的资源分享群 来一点医学科学前沿 财联社VIP文章分享 今日有羊毛 加密货币知识库 115影视资源分享频道 电报频道&群组索引
🤡6❤1
#agent ⭐ 一切皆插件!DeepSeek 官方 Coding Agent 终于发布 DeepSeek Harness(dsh)是 DeepSeek 官方开源的 Agent Harness,可以理解成DeepSeek 版的 Claude Code。 核心亮点是 「一切皆插件」:模型适配器、工具、Session Log,甚至 Agent Loop 本身都可以替换。除了 DeepSeek,也支持添加 Anthropic、OpenAI 以及自定义 OpenAI 兼容接口。 😸 2 个开源的第三方 UI 客户端 https://github.com/thinkany-ai/dscode https://github.com/zhu1090093659/dsh-web-ui 📮投稿 📢频道 💬吹水 🌐网站
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#大模型 本地跑 AI 到底该买什么硬件?local.ai 把模型和性能数据整理出来了 local.ai 可以看出两个问题 ➡️ 现在的消费级硬件能跑什么模型? ➡️ 模型在不同硬件上的实际速度和能力表现? 目前模型页面收录了 45 个模型、175 个评分变体,并提供 Intelligence、Decode / Prefill 速度等指标。数据由 Exo Labs 提供,网站称与列出的硬件厂商、模型提供商没有商业关系。 比较鸡贼的是需要通过邀请才能解锁完整功能 ➡️ 直达地址:https://local.ai/geek/invite 📮投稿 📢频道 💬吹水 🌐网站
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#agent 🆓 manus 限时免费使用 直达:https://manus.im/app 截至 2026年8月25日 老号被封了,只能注册个新号了,需要注意的是注册新号大概率会弹手机号验证。 📮投稿 📢频道 💬吹水 🌐网站
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#skill #写作 ✍️ Human Writing - 一个让 AI 中文少点「模型味」的写作 Skill Human Writing,也叫「活人感写作」,是一套面向 AI Agent 的中文写作 Skill,目标很直接:让生成的文章更像一个具体的人在说话,而不是四平八稳的模型作文。 现在看到「不是…而是…」下意识就会认为是 AI 生成的...你觉得呢? 📮投稿 📢频道 💬吹水 🌐网站
👍6❤3
#频道互推 #群组推荐 电影资源频道(4K、原盘) 爱游戏分享社 老司机之家 折腾实验室频道 白嫖小仓库 丨 抽奖福利之家 小众机场测评 影视软件、TVBox接口分享 不是白嫖,这叫借鉴(备用) 零度资源分享-破解软件/游戏分享 电报频道&群组索引
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#chatGPT ⭐ Luna API 价格砍掉 80%,OpenAI 开始卷「每美元性能」 OpenAI 宣布下调 GPT-5.6 系列价格:主打高并发、低成本任务的 Luna 降价 80%,偏日常工作的 Terra 降价 20%。 ChatGPT 和 Codex 的订阅价格、额度预算没有变化,但调用 Terra、Luna 时消耗的额度会更少。简单理解就是:套餐没变,同样额度现在可以多跑一些任务。 👾 假设一次任务消耗 100 万输入 Token + 20 万输出 Token:GPT-5.6 Luna 单次成本为 $0.44、DeepSeek-V4-Pro 单次成本为 $0.609 📮投稿 📢频道 💬吹水 🌐网站
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Codex明天又又又要重置了,今天赶紧瞪完 预言失败
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Showing the 12 most recent of 29 posts we hold for @xgeekshare. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
@xgeekshare edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 497,694 of 1,584,142entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.
“极客分享 2.0” (@xgeekshare), 13,175 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/xgeekshare.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.